• DocumentCode
    3311849
  • Title

    Privacy Preserving C4.5 Algorithm over Vertically Distributed Datasets

  • Author

    Shen, Yanguang ; Shao, Hui ; Yang, Li

  • Author_Institution
    Sch. of Inf. Sci. & Electr. Eng., Hebei Univ. of Eng., Handan
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    446
  • Lastpage
    448
  • Abstract
    It is a primary task in the privacy-preserving data mining in the distributed environment how to protect privacy and at the same time acquire accurate data relation. This paper shows how two parties built a decision tree collaboratively without revealing privacy when datasets is vertically distributed, including a PPC4.5 algorithm for privacy preserving via C4.5 over vertically distributed datasets and an algorithm of the best split attribute and the information gain ratio of the node. Further, the secure scalar product protocol and the x ln(x) protocol are used in collaborative computing, which can protect privacy effectively.
  • Keywords
    data mining; data privacy; decision trees; distributed processing; groupware; protocols; PPC4.5 algorithm; best split attribute; collaborative computing; data privacy; data relation; decision tree; distributed environment; information gain ratio; privacy preserving C4.5 algorithm; privacy-preserving data mining; scalar product protocol; vertically distributed datasets; Algorithm design and analysis; Collaboration; Data privacy; Databases; Decision trees; Distributed computing; Mathematical model; Partitioning algorithms; Protection; Protocols; C4.5; decision tree; privacy-preserving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.253
  • Filename
    4908501